About EdgeDepth Research
EdgeDepth Research is an MCP server published by edgedepthhq in the Blockchain category: search recorded crypto and TradFi microstructure through deterministic, reproducible agent tools.
The repository has 3 stars and 2 forks, with the last commit 10 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
claude mcp add edgedepth-research -- npx -y @edgedepth/research-mcpnpx -y @edgedepth/research-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (15)
base_rateCounts matches and eligible buckets for one clause over a window.
Parameters not published.
commonalityFinds the deterministic intersection across multiple moments with selection-bias caveats included.
Parameters not published.
get_reportRetrieves a published report by its 8-character canonical hash.
Parameters not published.
ground_screenshotsResolves host-extracted screenshot coordinates against recorded candle closes and coverage, retaining uncertainty and deduplicating event views. Free.
Parameters not published.
interpret_proseTurns prose into a proposed query document. It does not execute the query. Optional `time_zone` accepts an IANA time zone for calendar planning.
Parameters not published.
investigate_moveReads the existing lead-up and optional recorded detector geometry for a grounded event, and optionally prepares exact unrun setup documents. Free read; historical entitlement applies.
Parameters not published.
list_featuresReturns the closed grammar registry: feature ids, types, ranges, operators, windows, sequence rules, limits, and error codes. `search`, `feature_ids` and `compact` narrow it.
Parameters not published.
list_instrumentsReturns the research universe and coverage. The default is a compact summary; use `symbols: [...]` for selected full records or `full: true` for the verbatim canonical universe.
Parameters not published.
next_pageContinues a prior scan with its opaque cursor. Never construct cursors manually.
Parameters not published.
outcome_firstStarts from the MOVE instead of the setup: names an outcome (size, direction, horizon) and reports what the record was doing at five fixed offsets before every realised move like it. Each row carries two counted shares, the share before these moves and the share across every eligible minute in the same scope, plus the setup-first rerun that re-tests it the other way round. A descriptive read, never a rule search: a row is not a rule, a candidate or a finding, and the row order is display order. A scope with too few realised moves is refused with its counts and four adjustments, and a refusal spends nothing. Projected by default (`rows`, `full_rows`).
Parameters not published.
Show all 15 tools
prepare_studyFree deterministic structured preparation, provenance and allowance estimate. Requires the web `/prepare` release first.
Parameters not published.
run_cohortCompares what followed every match with what followed every other eligible predicate-false bucket.
Parameters not published.
run_scanExecutes a `research_query.v2` document and returns result bytes with counts, denominators, outcomes, the unconditional same-scope reference, and the reproducibility key. Projected by default (`rows`, `full_rows`, `full_counts`).
Parameters not published.
run_stratifiedPartitions one matched population at its existing anchors into split-true, split-false, and split-absent outcome summaries.
Parameters not published.
snapshot_atReads registry feature values, window aggregates, and fired rules as of a recorded moment.
Parameters not published.
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